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Internship Ontology Engineer Jobs (NOW HIRING)

Phenom People Pvt Ltd

Associate Data Engineer

Ambler, PA · Hybrid

$70K - $90K/yr

Interest in data modeling, pipelines, or semantic technologies (ontology, taxonomies, knowledge graphs). * Completed coursework, internships, or personal projects related to data engineering or data ...

Octagon Talent

AI Engineer

Austin, TX

$220K - $270K/yr

Context systems grounded in real operations: * industrial ontology / knowledge graph mapping plants ... internships can count toward total experience * Full-stack engineering capability; comfortable ...

Wingbrace

System Engineer (MBSE)

Lincoln, MA · On-site

Developing and driving model taxonomy and ontology consensus with stakeholders * Estimating ... internships and project-related experience * Must have Experience in Model Based Systems ...

Kla

Data Scientist (Entry Level) - GSCS

Milpitas, CA · On-site

$67K - $114K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Design Ontology models that represent real-world operations (parts, shipments, suppliers) * Create ...

New

Orbotech

Data Scientist (Entry Level) - GSCS

Milpitas, CA · On-site

$67K - $114K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Design Ontology models that represent real-world operations (parts, shipments, suppliers) * Create ...

New

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

Provide data analytics support including designing automated approaches for ontology and graph ... Lead the Rising Tide program and Mentor interns. Coordinate with IT developers and (content ...

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How much do internship ontology engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for internship ontology engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an Internship Ontology Engineer?

An Internship Ontology Engineer is a student or recent graduate working in a temporary role to assist with the design, development, and management of ontologies—structured frameworks for organizing information. These interns typically work alongside experienced ontology engineers and data scientists to create, update, and test data models that enable better data integration and retrieval. The role often involves using semantic web technologies such as OWL, RDF, and SPARQL, and collaborating with multidisciplinary teams to ensure the ontology meets organizational needs. This internship is ideal for those interested in artificial intelligence, information science, and data architecture.

What are the key skills and qualifications needed to thrive as an Internship Ontology Engineer, and why are they important?

To thrive as an Internship Ontology Engineer, you need a foundational understanding of semantic web technologies, ontology modeling, and knowledge representation, often supported by studies in computer science or information science. Familiarity with tools like Protégé, SPARQL, RDF, OWL, and version control systems is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate and clearly document complex structures. These skills are essential for accurately modeling data relationships and supporting interoperability in data-driven environments.

What are some common challenges faced by Internship Ontology Engineers, and how can they be addressed?

Internship Ontology Engineers often encounter challenges such as understanding complex domain knowledge quickly, ensuring interoperability between different data models, and learning to use specialized ontology development tools like Protégé. To overcome these, interns should actively seek guidance from senior team members, participate in regular team meetings to clarify requirements, and engage with available documentation and training resources. Collaboration and open communication within the team are key to successfully navigating these challenges and gaining valuable hands-on experience.

What is the difference between Internship Ontology Engineer vs Data Analyst?

AspectInternship Ontology EngineerData Analyst
Required CredentialsRelevant degree in computer science, information science, or related field; familiarity with ontologies and semantic web technologiesDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, tech companies, or academic settings focusing on knowledge representationBusiness environments, data-driven departments, or consulting firms
Industry UsageUsed in AI, semantic web, and knowledge management projectsApplied across finance, marketing, healthcare, and more for data insights

Internship Ontology Engineers focus on developing and managing ontologies for knowledge representation, often in research or tech settings. Data Analysts interpret and visualize data to support business decisions. While both roles require analytical skills, the Internship Ontology Engineer emphasizes semantic web technologies, whereas Data Analysts focus on data processing and reporting.

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Internship Ontology Engineer jobs near you

Associate Data Engineer

Phenom People Pvt Ltd

Ambler, PA • Hybrid

$70K - $90K/yr

Full-time

Re-posted 2 days ago

Job description

Job Requirements

Our purpose is to help a billion people find the right job! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,600 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal!


We are looking for a passionate and driven associate engineer to join our data engineering team to support the extension of our data pipelines for ontology-based use cases. This is an excellent opportunity for a recent graduate to work on real-world data integration challenges and gain hands-on experience with modern data technologies and semantic data modeling.


As an Associate Data Engineer, you will work closely with experienced engineers to develop data ingestion pipelines, transform datasets for semantic alignment, and support intelligent data products that power personalization, analytics, and AI use cases.


Please note: This is a full-time, hybrid position located at the headquarters in Ambler, PA, requiring three (3) days per week in-office. Candidates must currently reside within a fifty (50) mile radius of Ambler, PA. At this time, the Company will not sponsor, transfer, or extend employment-based visas for this position, including but not limited to H-1B, TN, or F-1 OPT.


What You'll Do

  • Design, develop, and maintain scalable data pipelines to ingest and enrich new data sources.
  • Implement data transformations and mappings to align raw data with enterprise ontologies and taxonomies.
  • Collaborate with ontology specialists, data scientists, and application teams to understand semantic requirements.
  • Develop frameworks for metadata tagging, entity resolution, and relationship extraction.
  • Ensure data quality, observability, and reliability in extended pipelines.
  • Optimize data workflows for low-latency and real-time use cases where applicable.
  • Support deployment of use cases such as semantic search, skill inference, and personalized recommendations.

Requirements

  • Degree in Data Science, Computer Science, Information Systems or related fields.
  • Strong logical reasoning, problem-solving, and analytical thinking skills.
  • Curiosity and interest in building a career in data engineering.
  • Exposure to at least one programming language (preferably Python or Java).
  • Good knowledge of databases and SQL.
  • Interest in data modeling, pipelines, or semantic technologies (ontology, taxonomies, knowledge graphs).
  • Completed coursework, internships, or personal projects related to data engineering or data science would be an asset(s).
  • Familiarity with tools like Airflow, Spark, or any data integration platforms would be an asset(s).
  • Exposure to graph databases or semantic web concepts would be an asset(s).

Salary

  • Expected salary range $70,000 - $90,000

Please note the Salary range is subject to change in the future in accordance with Phenom's policies


Benefits

  • We want you to be your best self and to pursue your passions!
  • Health and wellness benefits/programs to support holistic employee health
  • Flexible hours and working schedules, as well as parental leave for new parents
  • Growing organization with career pathing and development opportunities
  • Tons of perks and extras in every location for all Phenoms!

#LI-SN1

#LI-PL1


Employment Type: FULL_TIME

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